Data races are egregious concurrency bugs that are especially problematic in performance-
oriented GPU codes where large thread counts and multiple shared memory regions tend to …

As GPUs have become an integral part of nearly every pro-cessor, GPU programming has
become increasingly popular. GPU programming requires a combination of extreme levels …

Data races are egregious parallel programming bugs on CPUs. They are even worse on
GPUs due to the hierarchical thread and memory structure, which makes it possible to write …

Data race detection has become an important problem in GPU programming. Previous
designs of CPU race-checking tools are mainly task parallel and incur high overhead on …

In recent years, GPUs have emerged as an extremely cost-effective means for achieving
high performance. Many application developers, including those with no prior parallel …

In recent years, GPUs have emerged as an extremely cost-effective means for achieving
high performance. While languages like CUDA and OpenCL have eased GPU programming …

Modern Graphics Processing Units (GPUs) are capable of supporting thousands of
concurrent threads. However, they provide relatively little guarantee with respect to the …

GPUs have emerged as a key computing platform for an ever-growing range of applications.
Unlike traditional bulk-synchronous GPU programs, many emerging GPU-accelerated …

Newer use cases of GPU (Graphics Processing Unit) computing, eg, graph analytics, look
less like traditional bulk-synchronous GPU programs. To cater to the needs of emerging …

Data race detection becomes an important problem in GPU programming. The paper
presents a novel solution mainly aimed at detecting data races happening in shared …